MIT researchers develop an AI model that can detect future lung …
WEBJan 20, 2023 · Sybil, a deep-learning model developed by MIT and Mass General researchers, can assess each patient's risk of developing lung cancer within six years based on low-dose CT images. The model achieved high accuracy and generalized well to diverse datasets, including nonsmokers and former smokers.
Artificial Intelligence Tool Developed to Predict Risk of Lung Cancer
WEBSybil is an artificial intelligence tool developed by researchers from Mass General and MIT to analyze low-dose chest computed tomography scans and predict lung cancer risk for one to six years. The tool does not depend on clinical data or radiologist annotations and can run in real-time for personalized screening.
AI Tool Predicts Risk of Lung Cancer | Harvard Medical School
WEBJan 18, 2023 · Sybil is an artificial intelligence tool that analyzes LDCT scans and predicts lung cancer risk for the next one to six years. It was developed and tested by Harvard Medical School and MIT researchers using data from the U.S. and Taiwan.
Sybil: A Validated Deep Learning Model to Predict Future Lung …
WEBJan 12, 2023 · Using data from National Lung Screening Trial, this study describes the development of a deep learning cancer risk model, Sybil, that uses a single low-dose chest computed tomography (CT) scan to predict lung cancers occurring 1-6 years after a screen.
Promising new AI can detect early signs of lung cancer that …
WEBApr 11, 2023 · The new AI tool, called Sybil, was developed by scientists at the Mass General Cancer Center and the Massachusetts Institute of Technology in Cambridge. In one study, it was shown to accurately...
New AI Tool Predicts Six-Year Lung Cancer Risk From a Single CT …
WEBApr 13, 2023 · Using low-dose lung CT scans from the National Lung Screening Trial (NLST), researchers at Massachusetts General Hospital trained Sybil, an algorithm designed to predict future lung cancer risk using a …
MIT researchers develop an AI model that can detect future lung …
WEBJan 20, 2023 · Sybil is an artificial intelligence model that analyzes low-dose CT scans of the lung to predict the future risk of developing lung cancer within six years. The model, developed by MIT's Abdul Latif Jameel Clinic for Machine Learning in Health, Mass General Cancer Center, and Chang Gung Memorial Hospital, achieved high accuracy and generalization across diverse datasets.
Sybil: A Validated Deep Learning Model to Predict Future Lung …
WEBApr 20, 2023 · Sybil was validated on three independent data sets: a heldout set of 6,282 LDCTs from NLST participants, 8,821 LDCTs from Massachusetts General Hospital (MGH), and 12,280 LDCTs from Chang Gung Memorial Hospital (CGMH, which included people with a range of smoking history including nonsmokers).
WEBSybil is a model that uses a single low-dose chest CT scan to predict future lung cancer risk without requiring additional data. It was validated on three independent data sets and achieved high accuracy for short-term and long-term risk assessment.
Sybil: Predicting Future Lung Cancer Risk From a Single Low-Dose …
WEBSybil is validated on three independent datasets: a held-out set of 6,282 LDCTs from NLST participants, 8,821 LDCTs from Massachusetts General Hospital (MGH) and 12,280 LDCTs from Chang Cung Memorial Hospital (CGMH, which included people with a range of smoking history including non-smokers).
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